On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

Proteins are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...

And it’s giving the data away for free, which could spur new scientific discoveries. DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science.

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

As people around the world marveled in July at the most detailed pictures of the cosmos snapped by the James Webb Space Telescope, biologists got their first glimpses of a different set of images — ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

The prediction of protein structure with the use of artificial intelligence and machine learning (AI–ML) is poised to transform how and when three-dimensional (3D) biostructure information is used in ...

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...

DNA origami cages constrain individual proteins toward preferred orientations on electrodes, dramatically improving ...